Socioemotional processing in female offenders - Resubmission 01

女性罪犯的社会情感处理 - 重新提交 01

• 批准号: 9128362
• 负责人: JEAN DECETY
• 金额: $ 82.74万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-20 至 2021-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9128362
• 关键词: AODD relapse; Address; Adopted; Affective; Amygdaloid structure; Antisocial Personality Disorder; Attention; Awareness; Behavioral; Borderline Personality Disorder; Brain; Categories; Classification; Cognition; Communication; Data; Diagnostic; Emotional; Emotions; Empathy; Etiology; Face; Female; Forensic Medicine; Functional Magnetic Resonance Imaging; Fusiform gyrus; Future; Goals; Hyperactive behavior; Inferior; Inferior frontal gyrus; Insula of Reil; Intervention; Investigation; Knowledge; Machine Learning; Measures; Mental Health; Mental disorders; Methods; Modeling; Mood Disorders; National Institute of Mental Health; Neurobiology; Neurologic; Neurosciences; Neurosciences Research; Outcome; Pain; Pathologic Processes; Pathology; Patient Self-Report; Pattern; Perception; Personality; Population; Prefrontal Cortex; Preventive measure; Procedures; Process; Psyche structure; Psychopathology; Public Health; Research; Research Domain Criteria; Rest; Sampling; Structure of superior temporal sulcus; Substance Addiction; Substance abuse problem; Suicide; Suicide attempt; Symptoms; System; Taxonomy; Techniques; Temporal Sulcus; Testing; Variant; Work; anti social; antisocial behavior; base; behavioral outcome; cognitive process; experience; falls; gender difference; hemodynamics; improved; independent component analysis; interest; male; mental state; neural circuit; neuroimaging; neuromechanism; offender; psychologic; psychopathic personality; public health relevance; relating to nervous system; remediation; response; showing emotion; social; social situation; specific biomarkers; symptomatology; targeted treatment; trait

 DESCRIPTION (provided by applicant): Increasing public awareness has accompanied recent scientific progress understanding the relationship between mental illness and some forms of persistent antisocial behavior. This has incited calls for research into possible interventions and preventive measures. A critical barrier to research in this arena has been an outdated, descriptive taxonomy of psychiatric constructs with overlapping symptomatology and little integration of emerging knowledge from neuroscience research. An array of traits and symptoms characterized within the framework of internalizing and externalizing psychopathology are features of several psychiatric constructs common in forensic settings. It will be essential for continued progress to identify basic features of pathology that are closely aligned with specific neurobiological systems underlying domains of cognitive processing. Among these, systems governing social processing, including emotion-related cognition and perspective-taking are particularly relevant in antisocial outcomes due to psychopathology. Our research team has previously explored the domains of social-affective processing as they relate to psychopathic traits in a large, forensic male sample. Here we propose to extend this work in a female forensic sample. Further, we integrate a wider array of dimensional constructs of pathology in socio-affective processing by examining features of psychopathic traits as well borderline personality disorder. Our research strategy utilizes functional magnetic resonance imaging for the investigation of neural circuits involved in dynamic facial affective processing, inferring affective states from social situations, and emotional perspective-taking. These data will provide us with essential information about gender differences in these processes, and whether critical features of pathology are uniquely related to variation in these circuits. Furthermore, we will examine the utility of variation within these circuits to predict poor behavioral outcomes of interest including antisocial behavior, substance abuse, and suicide. Importantly, to determine key features predictive of poor outcomes, we plan to compare traditional hierarchical modeling procedures with more advanced data-driven approaches. Traditional approaches utilize regions of interest identified through prior neuroimaging work, combined with psychological traits of interest and other key demographic variables. Advanced data-driven approaches utilize Independent Component Analysis for determining key functional networks of brain activity, and utilize machine learning approaches for selecting features essential for building appropriate models. Comparing these approaches will inform our planned future efforts for developing remediation strategies and evaluating efficacy at both a neurological level as well as behavioral level. These are essential, incremental steps toward a larger translational goal to develop improved, targeted treatment strategies informed by emerging neuroscience.

 描述（由申请人提供）：随着最近科学进步，人们对精神疾病与某些形式的持续性反社会行为之间关系的了解不断提高，公众意识也随之提高。这引发了对可能的干预措施和研究的呼吁 预防措施。这一领域研究的一个关键障碍是过时的、描述性的精神病结构分类法，其症状学重叠，并且很少整合神经科学研究的新兴知识。在内化和外化精神病理学框架内表征的一系列特征和症状是法医环境中常见的几种精神病学结构的特征。确定与认知处理领域的特定神经生物学系统密切相关的病理学基本特征对于持续取得进展至关重要。其中，控制社会处理的系统，包括与情绪相关的认知和观点采择，与精神病理学导致的反社会结果特别相关。我们的研究团队之前曾探索过社会情感处理领域，因为它们与大量法医男性样本中的精神病特征有关。在这里，我们建议将这项工作扩展到女性法医样本中。此外，我们通过检查精神病态特征以及边缘人格障碍的特征，将更广泛的病理学维度结构整合到社会情感处理中。 我们的研究策略利用功能磁共振成像来研究参与动态面部情感处理、从社会情境推断情感状态和情感观点采择的神经回路。这些数据将为我们提供有关这些过程中性别差异的基本信息，以及病理学的关键特征是否与这些回路的变化唯一相关。此外，我们将研究这些回路中的变异的效用，以预测不良行为结果，包括反社会行为、药物滥用和自杀。重要的是，为了确定预测不良结果的关键特征，我们计划将传统的分层建模程序与更先进的数据驱动方法进行比较。传统方法利用通过先前的神经影像学工作确定的感兴趣区域，并结合感兴趣的心理特征和其他关键人口统计变量。先进的数据驱动方法利用独立成分分析来确定大脑活动的关键功能网络，并利用机器学习方法来选择构建适当模型所必需的特征。比较这些方法将为我们计划的未来努力制定补救策略并评估神经层面和行为层面的功效提供信息。这些是实现更大转化目标的必要渐进步骤，以开发基于新兴神经科学的改进的、有针对性的治疗策略。